trends in amazon land change gilberto câmara national institute for space research brazil
TRANSCRIPT
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Trends in Amazon land change
Gilberto CâmaraNational Institute for Space ResearchBrazil
http://www.dpi.inpe.br/gilberto
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Where is the food coming from and going to?
graphics: The Economist
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Nature, 29 July 2010
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Nature, 29 July 2010
Brazil is the world’s current largest experiment on land change and its effects: will it also happen elsewhere?
Today’s questions about Brazil could be tomorrow’s questions for other countries
Brazil is the world’s current largest experiment on land change and its effects: will it also happen elsewhere?
Today’s questions about Brazil could be tomorrow’s questions for other countries
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T2 – Loss of smaller trees
How does deforestation happen?T1 – Selective logging
T3 – Loss >50% of forest T4 – Loss >90% of forest
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Final = Clear cutPasture
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Dinâmica do desmatamento
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Frentes de desmatamento 91-96
Dalves (2000)
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1997-2000
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Frentes 2000 - 2003
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Frentes 2003 - 2006
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Frentes 2006 - 2009
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Floresta
time
dialy deforestation alerts
Yearly rates of clear cuts
INPE’s Monitoring Systems
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Daily warnings of newly deforested large areas
Real-time Deforestation Monitoring
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Jan-April/2011: 126% increase
Keep watching!
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Deforestation hotspots: March-May 2011
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Deforestation hotspots: June-August 2011
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166-112
116-113
116-112
30 Tb of data500.000 lines of code
150 man/years of software dev200 man/years of interpreters
How much it takes to survey Amazonia?
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Finding: Transparency builds governance!CBERS image
Science (27 April 2007): “Brazil´s monitoring system is the envy of the world”.
DeforestationDegradation
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Protected areas and deforestation (1997)
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Protected areas and deforestation (2000)
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Protected areas and deforestation (2001)
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Protected areas and deforestation (2002)
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Protected areas and deforestation (2003)
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Protected areas and deforestation (2004)
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Protected areas and deforestation (2005)
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Protected areas and deforestation (2006)
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Protected areas and deforestation (2007)
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Protected areas and deforestation (2008)
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Finding: Protected areas deter deforestation
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Finding: Deforestation is becoming harder to detect
Proportion of clear cuts by size (ha)Clearings less than 50 ha: 35% of total in 2002 to 80% of total in 2010
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Almost all deforestation is illegal
Finding: Command and control actions are effective means to curb deforestation
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Finding: Markets have a positive rôle
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“By 2020, Brazil will reduce deforestation by 80% relative to 2005.” (pres. Lula in Copenhagen COP-15)
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Transparency builds governance!
Deforestation in Brazilian Amazonia (1988-2011)dropped from 27,000 km2 to 6,200 km2
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“Deforestation in the Brazilian Amazon is down by a whopping 78% from its recent high in 2004. If Brazil can maintain that progress, it would be the biggest environmental success story in decades, and would set an example to other countries that want to protect their tropical forests.” (Editorial, 7 June 2012)
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Deforestation and price trends
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Prices or policies?
Deforestation Slowdown in the Legal Amazon: Prices or Policies?http://www. climatepolicyinitiative.org
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Prices or policies?
Deforestation Slowdown in the Legal Amazon: Prices or Policies?http://www. climatepolicyinitiative.org
“Our analysis shows that approximately half of the deforestation that was avoided in the Amazon in the 2005 through 2009 period can be attributed to conservation policies introduced in the second half of the 2000s. This is equivalent to an avoided loss of 62,000 km2 of forest area, or approximately 620 million tons of stored C (2.3 billion tons of stored CO2), which our estimates value at US$ 11.5 billion US dollars.” (Pinho et al., 2012)
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What happened with 720.000 km2 deforested?
First map of land use and land cover of Amazonia
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What happened with 720.000 km2 deforested?
TerraClass - first map of land use and land cover of Amazonia
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Pasto limpo
Nível inédito de detalhe espacial: 20 m (CBERS) e 30 m (LANDSAT)
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Agriculture (grains)
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Cleared pasture
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Degraded pasture
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Small-scale agriculture
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Degraded land
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How are we using the forest?
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The extent of illegal deforestation
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Class TOTAL (km2)
Clean Pasture 335.714,94 46,7%Secundary Vegetation 150.815,31 21,0%Dirty pasture 62.823,75 8,7%Regeneration with pasture 48.027,37 6,7%Non-observed areas 45.406,27 6,3%Agriculture (large-scale) 34.927,24 4,9%Small farms and settlers 24.416,57 3,4%Urban areas 3.818,14 0,5%Mining 730,68 0,1%Degraded areas 594,19 0,1%Others 477,88 0,1%Desflorestation 2008 11.458,64 1,6%TOTAL 719.210,99
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Até 10%
10 - 20%
20 – 30%
30 – 40%
40 – 50%
50 – 60%
60 – 70%
70 – 80%
80 – 90%
90 – 100%
Illegal large farms have to recover 80% of area
Brazil new Forest Code
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Sustainability?
NPV (net present value) of land in Amazonia for cattle
ranching Land speculation
Land purchase
Extensive ranching is only profitable for large farms
source: Bowman et al. (Land Use Policy, 2012)
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NPV (net present value) of land in Amazonia for cattle ranching
source: Silva and Barreto (Imazon, 2011)
No
regu
latio
nRe
gula
tion
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Floresta (biomass after 5 years)
200,000 km2 (30% of area)
Clear-cut areas
Potential for CO2 sink in Amazonia
10 Gt CO2eq (2015-2020)
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Impact of reforestation in Amazonia (30% of deforestation recovers from 2015-2025)
World’s emission growth in fossil fuels (2% a.a) (2015-2025)
Net sink in Amazonia(2015-2020)
From 2015 to 2025, reforestation in Amazonia could help reduce 15% of global emissions increase
20 Gt CO2eq3 Gt CO2eq
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Impact of reforestation in Amazonia (30% of deforestation recovers from 2015-2025)
World’s emission growth in fossil fuels (2% a.a) (2015-2025)
Net sink in Amazonia(2015-2020)
From 2015 to 2025, reforestation in Amazonia could help reduce 15% of global emissions increase
20 Gt CO2eq3 Gt CO2eq
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(40% of deforestation recovers from 2015-2050) = sink of 6 GtCO2eq
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What about the rest of Brazil?
source: IBGE
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Annual Crop – 1 Crop per season
Annual Crop – 2 Crops per season
Sugarcane
Crop Year 2002/2003 Crop Year 2002/2003
source: Bernardo Rudorff (INPE)
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Annual Crop – 1 Crop per season
Annual Crop – 2 Crops per season
Sugarcane
Crop Year 2010/2011 Crop Year 2010/2011
source: Bernardo Rudorff (INPE)
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MATO GROSSO – Sorriso: Crop Year 2002/2003 MATO GROSSO – Sorriso: Crop Year 2002/2003
Annual Crop - 1 Crop Annual Crop - 2 Crops
source: Bernardo Rudorff (INPE)
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MATO GROSSO – Sorriso: Crop Year 2010/2011 MATO GROSSO – Sorriso: Crop Year 2010/2011
Annual Crop - 1 Crop Annual Crop - 2 Crops
source: Bernardo Rudorff (INPE)
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Crop Year 2002/2003 Crop Year 2002/2003
Annual Crop – 1 Crop per season
Annual Crop – 2 Crops per season
Sugarcane source: Bernardo Rudorff (INPE)
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Crop Year 2010/2011 Crop Year 2010/2011
Annual Crop – 1 Crop per season
Annual Crop – 2 Crops per season
Sugarcane source: Bernardo Rudorff (INPE)
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SÃO PAULO – Barretos: Crop Year 2002/2003 SÃO PAULO – Barretos: Crop Year 2002/2003
1
Annual Crop - 1 Crop Annual Crop - 2 Crops Sugarcane
source: Bernardo Rudorff (INPE)
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SÃO PAULO – Barretos: Crop Year SÃO PAULO – Barretos: Crop Year 2010/2011 2010/2011
1
Annual Crop - 1 Crop Annual Crop - 2 Crops Sugarcane
source: Bernardo Rudorff (INPE)
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68
Are biofuels replacing food production in Brazil?
source: B. Rudorff, INPE
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Are biofuels replacing food production in Brazil?
24% 26%30%
37% 41% 38%
26%
12%1% 1%
3% 3%3%
3%
7%17%
48%85%
98% 98%
1% 1%1%
1%
1%
1%
71% 70%65%
59%51%
44%
26%
3%1%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Área Agrícola Cana-de-açúcar Citrus Pastagem Vegetação Arbórea
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Brazil: Do biofuels cause indirect land change?
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Brazil: Projected direct land change from biofuels (2020)
source: Lapola et al (PNAS, 2010)
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Brazil: Projected indirect land change from biofuels (2020)
source: Lapola et al (PNAS, 2010)source: Lapola et al (PNAS, 2010)
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REDD-PAC project (IIASA, INPE, IPEA)
Land use data and drivers for Brazil Model cluster - realistic assumptions
Globally consistent policy impact assessment Information infrastructure
GLOBIOM, G4M, EPIC, TerraME
TerraLib
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GLOBIOM
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The conceptual debate on Future Earth
Malthus: Projecting the future from past trends
Schumpeter: Innovation builds unpredictable futures
Is Future Earth already locked into a Malthusian mindset?